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Parallel computing for the topology optimization method: Performance metrics and energy consumption analysis in multiphysics problems

https://doi.org/10.1016/j.suscom.2020.100481
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/nme.1064openalex-snapshot
Achieving minimum length scale in topology optimization using nodal design variables and projection functions
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A quadratic approximation for structural topology optimization
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Energy Efficient Servers: Blueprints for Data Center Optimization
inferredcites →https://doi.org/10.1007/978-3-319-89988-6_33openalex-snapshot
Topology Optimization Using GPGPU
inferredcites →https://doi.org/10.1007/978-3-662-05086-6openalex-snapshot
Topology Optimization: Theory, Methods, and Applications
inferredcites →https://doi.org/10.1007/978-94-011-2550-5openalex-snapshot
Elements of Structural Optimization
inferredcites →https://doi.org/10.1007/978-981-10-8554-3openalex-snapshot
Energy Efficient High Performance Processors
inferredcites →https://doi.org/10.1007/bf01214002openalex-snapshot
Numerical instabilities in topology optimization: A survey on procedures dealing with checkerboards, mesh-dependencies and local minima
inferredcites →https://doi.org/10.1007/s00158-003-0340-5openalex-snapshot
Topology synthesis of electrothermal compliant mechanisms using line elements
inferredcites →https://doi.org/10.1007/s00158-006-0006-1openalex-snapshot
Topology optimization of 2D continua for minimum compliance using parallel computing
inferredcites →https://doi.org/10.1007/s00158-006-0087-xopenalex-snapshot
Morphology-based black and white filters for topology optimization
inferredcites →https://doi.org/10.1007/s00158-007-0128-0openalex-snapshot
Topology optimization of large scale stokes flow problems
inferredcites →https://doi.org/10.1007/s00158-007-0190-7openalex-snapshot
Large-scale parallel topology optimization using a dual-primal substructuring solver
inferredcites →https://doi.org/10.1007/s00158-010-0594-7openalex-snapshot
Efficient topology optimization in MATLAB using 88 lines of code
inferredcites →https://doi.org/10.1007/s00158-012-0807-3openalex-snapshot
Efficient generation of large-scale pareto-optimal topologies
inferredcites →https://doi.org/10.1007/s00158-012-0869-2openalex-snapshot
Parallel framework for topology optimization using the method of moving asymptotes
inferredcites →https://doi.org/10.1007/s00158-013-0920-yopenalex-snapshot
Toward GPU accelerated topology optimization on unstructured meshes
inferredcites →https://doi.org/10.1007/s00158-013-0978-6openalex-snapshot
Topology optimization approaches
inferredcites →https://doi.org/10.1007/s00158-013-0980-zopenalex-snapshot
High resolution topology optimization using graphics processing units (GPUs)
inferredcites →https://doi.org/10.1007/s00158-013-1015-5openalex-snapshot
On multigrid-CG for efficient topology optimization
inferredcites →https://doi.org/10.1007/s00158-014-1107-xopenalex-snapshot
An efficient 3D topology optimization code written in Matlab
inferredcites →https://doi.org/10.1007/s00158-014-1157-0openalex-snapshot
Topology optimization using PETSc: An easy-to-use, fully parallel, open source topology optimization framework
inferredcites →https://doi.org/10.1007/s00158-015-1252-xopenalex-snapshot
PolyTop++: an efficient alternative for serial and parallel topology optimization on CPUs & GPUs
inferredcites →https://doi.org/10.1007/s00158-017-1672-xopenalex-snapshot
GPU parallel strategy for parameterized LSM-based topology optimization using isogeometric analysis
inferredcites →https://doi.org/10.1007/s00158-020-02629-wopenalex-snapshot
A new generation 99 line Matlab code for compliance topology optimization and its extension to 3D
inferredcites →https://doi.org/10.1007/s001580050176openalex-snapshot
A 99 line topology optimization code written in Matlab
inferredcites →https://doi.org/10.1007/s00366-018-0651-1openalex-snapshot
Multi-physics bi-directional evolutionary topology optimization on GPU-architecture
inferredcites →https://doi.org/10.1007/s00450-015-0300-5openalex-snapshot
Optimizing performance-per-watt on GPUs in high performance computing
inferredcites →https://doi.org/10.1007/s00791-012-0180-1openalex-snapshot
A 2589 line topology optimization code written for the graphics card
inferredcites →https://doi.org/10.1007/s10766-016-0453-2openalex-snapshot
Energy-Aware Modeling of Scaled Heterogeneous Systems
inferredcites →https://doi.org/10.1007/s11081-007-9007-1openalex-snapshot
Two-level parallelization for finite-element based design optimization via case studies
inferredcites →https://doi.org/10.1007/s11227-018-2626-9openalex-snapshot
Energy-aware resource utilization based on particle swarm optimization and artificial bee colony algorithms in cloud computing
inferredcites →https://doi.org/10.1007/s41050-018-0003-3openalex-snapshot
Perspectives of the World’s Energy System
inferredcites →https://doi.org/10.1016/0045-7825(88)90086-2openalex-snapshot
Generating optimal topologies in structural design using a homogenization method
inferredcites →https://doi.org/10.1016/b978-0-12-385512-1.00003-7openalex-snapshot
A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems
inferredcites →https://doi.org/10.1016/c2009-0-24909-9openalex-snapshot
The Finite Element Method: its Basis and Fundamentals
inferredcites →https://doi.org/10.1016/c2015-0-00281-7openalex-snapshot
GPU Programming in MATLAB
inferredcites →https://doi.org/10.1016/j.advengsoft.2007.03.005openalex-snapshot
Multicriteria decision making with parallel clusters in structural topology optimization
inferredcites →https://doi.org/10.1016/j.advengsoft.2010.10.003openalex-snapshot
Parallel computing techniques applied to the simultaneous design of structure and material
inferredcites →https://doi.org/10.1016/j.advengsoft.2017.01.009openalex-snapshot
Efficient topology optimization using GPU computing with multilevel granularity
inferredcites →https://doi.org/10.1016/j.cma.2004.08.008openalex-snapshot
Parallel methods for optimality criteria-based topology optimization
inferredcites →https://doi.org/10.1016/j.cma.2012.08.008openalex-snapshot
On response time reduction of electrothermomechanical MEMS using topology optimization
inferredcites →https://doi.org/10.1016/j.cma.2015.12.021openalex-snapshot
Topology optimization design of 3D electrothermomechanical actuators by using GPU as a co-processor
inferredcites →https://doi.org/10.1016/j.cma.2016.08.016openalex-snapshot
Large-scale robust topology optimization using multi-GPU systems
inferredcites →https://doi.org/10.1016/j.cma.2018.08.028openalex-snapshot
Large-scale stochastic topology optimization using adaptive mesh refinement and coarsening through a two-level parallelization scheme
inferredcites →https://doi.org/10.1016/j.compstruc.2013.04.016openalex-snapshot
Parallel computing in topology optimization of structures with stress constraints
inferredcites →https://doi.org/10.1016/j.compstruc.2016.10.018openalex-snapshot
GPU acceleration for evolutionary topology optimization of continuum structures using isosurfaces
inferredcites →https://doi.org/10.1016/j.energy.2018.06.149openalex-snapshot
Global material requirements for the energy transition. An exergy flow analysis of decarbonisation pathways
inferredcites →https://doi.org/10.1016/j.finel.2017.10.006openalex-snapshot
Topology optimization of binary structures using Integer Linear Programming
inferredcites →https://doi.org/10.1016/j.ijsolstr.2003.11.027openalex-snapshot
Parallelized structural topology optimization for eigenvalue problems
inferredcites →https://doi.org/10.1016/j.parco.2016.04.001openalex-snapshot
Fast Matlab compatible sparse assembly on multicore computers
inferredcites →https://doi.org/10.1016/j.parco.2019.04.009openalex-snapshot
The time and energy efficiency of modern multicore systems
inferredcites →https://doi.org/10.1016/j.rser.2018.06.005openalex-snapshot
Energy, performance and cost efficient datacenters: A survey
inferredcites →https://doi.org/10.1016/j.suscom.2017.03.002openalex-snapshot
Energy efficient computing, clusters, grids and clouds: A taxonomy and survey
inferredcites →https://doi.org/10.1016/j.suscom.2017.10.016openalex-snapshot
Understanding hardware and software metrics with respect to power consumption
inferredcites →https://doi.org/10.1016/j.suscom.2018.07.011openalex-snapshot
Energy saving strategies in the design of mobile device applications
inferredcites →https://doi.org/10.1016/j.swevo.2016.08.004openalex-snapshot
Evolutionary and GPU computing for topology optimization of structures
inferredcites →https://doi.org/10.1016/s0045-7825(01)00216-xopenalex-snapshot
Large-scale topology optimization in 3D using parallel computing
inferredcites →https://doi.org/10.1016/s0045-7825(01)00251-1openalex-snapshot
Design of multiphysics actuators using topology optimization – Part I: One-material structures
inferredcites →https://doi.org/10.1016/s0045-7825(01)00252-3openalex-snapshot
Design of multiphysics actuators using topology optimization – Part II: Two-material structures
inferredcites →https://doi.org/10.1016/s0924-4247(01)00853-6openalex-snapshot
A novel topology design scheme for the multi-physics problems of electro-thermally actuated compliant micromechanisms
inferredcites →https://doi.org/10.1029/2007gc001719openalex-snapshot
MILAMIN: MATLAB‐based finite element method solver for large problems
inferredcites →https://doi.org/10.1029/2008gc002012openalex-snapshot
Stacked gabbro units and intervening mantle: A detailed look at a section of IODP Leg 305, Hole U1309D
inferredcites →https://doi.org/10.1038/nature23911openalex-snapshot
Giga-voxel computational morphogenesis for structural design
inferredcites →https://doi.org/10.1080/08905459708945415openalex-snapshot
On the Design of Compliant Mechanisms Using Topology Optimization*
inferredcites →https://doi.org/10.1088/0960-1317/11/5/303openalex-snapshot
Comprehensive thermal modelling and characterization of an electro-thermal-compliant microactuator
inferredcites →https://doi.org/10.1098/rsta.2000.0528openalex-snapshot
Topology optimization: a tool for the tailoring of structures and materials
inferredcites →https://doi.org/10.1109/access.2019.2958684openalex-snapshot
Power Consumption Analysis, Measurement, Management, and Issues: A State-of-the-Art Review of Smartphone Battery and Energy Usage
inferredcites →https://doi.org/10.1109/mcse.2010.88openalex-snapshot
High-Performance Computing with Accelerators
inferredcites →https://doi.org/10.1109/mm.2015.70openalex-snapshot
Scalable Heterogeneous CPU-GPU Computations for Unstructured Tetrahedral Meshes
inferredcites →https://doi.org/10.1109/sbac-padw.2017.10openalex-snapshot
Performance and Energy Analysis of OpenMP Runtime Systems with Dense Linear Algebra Algorithms
inferredcites →https://doi.org/10.1109/tsm.2010.2089811openalex-snapshot
The Economic Limit to Moore's Law
inferredcites →https://doi.org/10.1109/tvcg.2015.2502588openalex-snapshot
A System for High-Resolution Topology Optimization
inferredcites →https://doi.org/10.1137/070699822openalex-snapshot
Megapixel Topology Optimization on a Graphics Processing Unit
inferredcites →https://doi.org/10.1145/1400181.1400186openalex-snapshot
Green computing
inferredcites →https://doi.org/10.1145/1735223.1735245openalex-snapshot
Energy-efficient algorithms
inferredcites →https://doi.org/10.1145/2557423openalex-snapshot
A Survey of Digital Map Processing Techniques
inferredcites →https://doi.org/10.1145/2636342openalex-snapshot
A Survey of Methods for Analyzing and Improving GPU Energy Efficiency
inferredcites →https://doi.org/10.1177/1045389x08093548openalex-snapshot
Topology Optimized Design, Microfabrication and Characterization of Electro-Thermally Driven Microgripper
inferredcites →https://doi.org/10.1177/1094342016665471openalex-snapshot
A survey on software methods to improve the energy efficiency of parallel computing
inferredcites →https://doi.org/10.1177/1094342018792079openalex-snapshot
Performance and energy analysis of OpenMP runtime systems with dense linear algebra algorithms
inferredcites →https://doi.org/10.1177/1094342019842915openalex-snapshot
Statistical and machine learning models for optimizing energy in parallel applications
inferredcites →https://doi.org/10.1201/b11043openalex-snapshot
Mathematical and Algorithmic Foundations of the Internet
inferredcites →https://doi.org/10.1201/b16631-36openalex-snapshot
Power Measuring and Profiling: State of the Art
inferredcites →https://doi.org/10.4028/www.scientific.net/amr.308-310.1046openalex-snapshot
A Meshless Level Set Method for Shape and Topology Optimization
inferredcites →https://doi.org/10.4203/csets.40.2openalex-snapshot
A Multi-GPU Framework for Structural Optimization under Uncertainty
inferredcites →https://doi.org/10.4203/csets.40.3openalex-snapshot
Massively Parallel Evolutionary Structural Optimization for High Resolution Architecture Design
inferredcites →https://doi.org/10.48550/arxiv.1501.04784openalex-snapshot
Global finite element matrix construction based on a CPU-GPU implementation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4469961openalex-extracted
Thermal Enhancement of Heat Sinks with Bio-Inspired Textured Surfaces
inferred← citeshttps://doi.org/10.1007/s00158-021-02941-zopenalex-snapshot
Multi-material topology optimization considering isotropic and anisotropic materials combination
inferred← citeshttps://doi.org/10.1016/j.cma.2022.115112openalex-snapshot
A parallel parameterized level set topology optimization framework for large-scale structures with unstructured meshes
inferred← citeshttps://doi.org/10.1016/j.jii.2022.100352openalex-snapshot
Computational Acceleration of Topology Optimization Using Parallel Computing and Machine Learning Methods – Analysis of Research Trends
inferred← citeshttps://doi.org/10.1016/j.tsep.2023.102170openalex-snapshot
Thermal enhancement of heat sinks with bio-inspired textured surfaces
inferred← citeshttps://doi.org/10.18321/ectj1471openalex-snapshot
Reduction of Material Usage in 3D Printable Structures Using Topology Optimization Accelerated with U-Net Convolutional Neural Network
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